Senior Data Engineer (AWS, Big Data)

Senior Data Engineer (AWS, Big Data)

Determined to stay ahead of the latest Cloud, Big Data and Data warehouse technologies? We're one of the largest and most advanced Data Engineering teams in the country. Together we can build state-of-the-art data solutions that power seamless experiences for millions of customers.

Do work that matters: As a Senior Data engineer with expertise in software development / programming and a passion for building data-driven solutions, you're ahead of trends and work at the forefront of Big Data and Data warehouse technologies.

Which is why we're the perfect fit for you. Here, you'll be part of a team of engineers going above and beyond to improve the standard of digital banking. Using the latest tech to solve our customers' most complex data-centric problems.

See yourself in our team: To us, data is everything. It is what powers our cutting-edge features and it's the reason we can provide seamless experiences for millions of customers from app to branch.

We're responsible for CommBank's key analytics capabilities and work to create world-leading capabilities for analytics, information management, decisioning and Generative AI. We work across different platforms like AWS Cloud, Cloudera Hadoop Big Data, Teradata Group Data Warehouse, Ab Initio, Gen AI, etc.

We are interested in hearing from people who:

• Are confident in building group data products or data assets from scratch, by integrating large sets of data derived from hundreds of internal and external sources.
• Can collaborate, co-create and contribute to existing Data Engineering practices in the team.
• Can lead and mentor other engineers in Agile teams delivering project work or initiative.
• Have experience and responsible for data design, data security and data management.
• Have a natural drive to educate, communicate and coordinate with different internal stakeholders and consultants.

Technical skills:

• Experience in designing, building, and delivering enterprise-wide data ingestion, data integration and data pipeline solutions using common programming language (Scala, Java, or Python) in a Big Data and Data Warehouse platform.
• Experience in building data solution in Hadoop platform, using Spark, MapReduce, Sqoop, Kafka and various ETL frameworks for distributed data storage and processing.
• Experience in building data solution using AWS Cloud technology (EMR, Glue, Iceberg, Kinesis, MSK/Kafka, Redshift/PostgresSQL, DocumentDB/MongoDB, S3, etc.).
• Possess ability to produce conceptual, logical and physical data models using data modelling techniques such as Data Vault, Kimball, 3NF, etc. and demonstrate expertise in design patterns (FSLDM, IBM IFW DW).
• Strong Unix/Linux Shell scripting and programming skills in Scala, Java, or Python.
• Proficient in SQL scripting, writing complex SQLs for building data pipelines.
• Familiarity with data warehousing and/or data mart build experience in Teradata, Oracle or RDBMS system is a plus.
• Experience in Ab Initio software products (GDE, Co>Operating System, Express>It, etc.) is a plus.

Nice-to-Have:

• Prior experience as a Tech BA.
• Skills in requirements gathering, data discovery, and stakeholder management

Working with us:

Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace with flexible work locations. One where we're driven by our values, and supported to share ideas, initiatives, and energy. One where making a positive impact for customers, communities and each other is part of our every day.

Here, you'll thrive. You'll be supported when faced with challenges and empowered to tackle new opportunities. We're hiring engineers from across all of Australia and have opened technology hubs in Melbourne and Perth. We really love working here, and we think you will too.

We support our people with the flexibility to balance where work is done with at least half their time each month connecting in office. We also have many other flexible working options available including changing start and finish times, part-time arrangements and job share to name a few. Talk to us about how these arrangements might work in the role you're interested in.

If this sounds like the role for you then we would love to hear from you. Apply today!